Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
Camera measurement of physiological vital signs
D McDuff - ACM Computing Surveys, 2023 - dl.acm.org
The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …
measurement of vital signs leverages imaging devices to compute physiological changes by …
BiLSTM multitask learning-based combined load forecasting considering the loads coupling relationship for multienergy system
Y Guo, Y Li, X Qiao, Z Zhang, W Zhou… - … on Smart Grid, 2022 - ieeexplore.ieee.org
Accurate load forecasting is the key to economic dispatch and efficient operation of Multi-
Energy System (MES). This paper proposes a combined load forecasting method for MES …
Energy System (MES). This paper proposes a combined load forecasting method for MES …
Learning motion-robust remote photoplethysmography through arbitrary resolution videos
Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from
facial videos which gives significant convenience compared with traditional contact-based …
facial videos which gives significant convenience compared with traditional contact-based …
Facial video-based remote physiological measurement via self-supervised learning
Facial video-based remote physiological measurement aims to estimate remote
photoplethysmography (rPPG) signals from human facial videos and then measure multiple …
photoplethysmography (rPPG) signals from human facial videos and then measure multiple …
Remote photoplethysmography for heart rate measurement: A review
H **ao, T Liu, Y Sun, Y Li, S Zhao, A Avolio - Biomedical Signal Processing …, 2024 - Elsevier
Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …
significantly illuminating an individual's state of physical health. Distinguished from …
MaskFusionNet: A dual-stream fusion model with masked pre-training mechanism for rPPG measurement
Remote photoplethysmography (rPPG) has considerable significance in areas such as
disease diagnosis and emotion analysis. Recent rPPG models have demonstrated excellent …
disease diagnosis and emotion analysis. Recent rPPG models have demonstrated excellent …
Structure-aware deep networks and pixel-level generative adversarial training for single image super-resolution
W Shi, F Tao, Y Wen - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
The resolution of current display devices is getting higher and higher, and 4K/8K display
devices have become popular, which require image super-resolution technologies to …
devices have become popular, which require image super-resolution technologies to …
Tranphys: Spatiotemporal masked transformer steered remote photoplethysmography estimation
Subtle variations are invisible to the naked eyes in human physiological signals can reflect
important biological and health indicators. Although numerous computer vision methods …
important biological and health indicators. Although numerous computer vision methods …
Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography
P Zhao, Q Sun, X Tian, Y Yang, S Tao… - Proceedings of the …, 2024 - openaccess.thecvf.com
There has been growing interest in facial video-based remote photoplethysmography
(rPPG) measurement recently with a focus on assessing various vital signs such as heart …
(rPPG) measurement recently with a focus on assessing various vital signs such as heart …